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Personality Capture and Emulation

Part of the book series: Human–Computer Interaction Series ((HCIS))

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Abstract

Natural language processing (NLP) is an advanced yet somewhat stagnant field in computer science, so this chapter considers its limitations, both current and future, at the same time as exploring its applications in personality capture and emulation. Historical linguistics is the study of the history of language, and using language variations to study other aspects of history, thereby establishing a basis for understanding the modern situation. Very early in the history of NLP, software called General Inquirer performed computerized analysis of text to count the use of words that belong to categories significant in the classification schemes of standard social-psychological theories, but theory-based NLP has been overshadowed by brute force methods. The chapter illustrates the value of theory by using General Inquirer and a specially developed lexicon method to analyze a sample of influential books that expressed the personalities of their authors. The idea of author emulation is then sketched, starting with the idea of editing existing novels to give them different topics while retaining the authors’ styles. The world of etymologist and pre-existential philosopher, Friedrich Nietzsche, then illustrates the challenge of achieving death transcendence by means of computer processing of text documents, unless artificial intelligence can be advanced to the point at which it really does duplicate human mental processes.

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Authors and Affiliations

  1. Arlington, VA, USA

    William Sims Bainbridge

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  1. William Sims Bainbridge
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Correspondence to William Sims Bainbridge .

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Bainbridge, W. (2014). Text Analysis. In: Personality Capture and Emulation. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-5604-8_7

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  • DOI: https://doi.org/10.1007/978-1-4471-5604-8_7

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